This MCP server facilitates AI systems to interact with Bitbucket repositories by providing access to projects, repositories, branches, files, and pull request tools. It offers type-safe API integration aligned with Bitbucket's OpenAPI specifications, streamlining automated repository management and AI-driven code analysis.
This MCP server facilitates AI systems to interact with Bitbucket repositories by providing access to projects, repositories, branches, files, and pull request tools. It offers type-safe API integration aligned with Bitbucket's OpenAPI specifications, streamlining automated repository management and AI-driven code analysis.
The Atlassian Bitbucket MCP Server is designed for seamless integration between self-hosted Bitbucket Server or Data Center instances and AI systems. It offers functionalities such as accessing repository details, managing pull requests, and interacting with project data. Equipped with support for official OpenAPI specs, it enables AI-driven automation, code review, and repository insights. Users can set up the server with Node.js and Python dependencies, configure environment variables for secure authentication, and run the server via standard commands or Docker, facilitating efficient AI collaboration with Bitbucket repositories.
Who will use Atlassian Bitbucket MCP Server?
Developers using self-managed Bitbucket
AI system integrators
DevOps teams managing repositories
Code reviewers automating processes
How to use the Atlassian Bitbucket MCP Server?
Step1: Clone the repository from GitHub
Step2: Install dependencies with npm
Step3: Configure environment variables for your Bitbucket server
Step4: Build the application using npm run build-app
Step5: Run the server with npm start or set up Docker as per instructions
Atlassian Bitbucket MCP Server's Core Features & Benefits
The Core Features
Access to projects, repositories, branches, and files
Pull request management tools
Type-safe API with OpenAPI specifications
Self-hosted server deployment options
Docker integration for containerized setup
The Benefits
Enables AI-driven repository management
Streamlines automated code review
Supports secure, customizable deployment
Enhances collaboration between AI systems and developers
Atlassian Bitbucket MCP Server's Main Use Cases & Applications
Automated code review and analysis
AI-powered repository management
Automated pull request handling
Repository data fetching for AI insights
FAQs of Atlassian Bitbucket MCP Server
What are the prerequisites for setting up the MCP server?
Can I run the server using Docker?
How do I configure the environment variables?
Is this MCP server open source?
What API specifications does this MCP support?
Which programming languages are used in this project?